Latest App Notes & Case Studies

Rare cells play pivotal roles in disease initiation, maintenance and progression. Yet, identifying these cells remains a difficult task for low-plex technologies, as it is not always clear a priori which biomarkers distinguish rare phenotypes from the remaining population.

On the frontier of metabolic pathway analysis and fluxomics research, LC-MS and LC-TIMS-MS based isotope tracing experiments offer the opportunity to detect and quantify the incorporation of isotopically labeled atoms into an organism’s metabolites.

Lipid profiling from complex lipid extracts can be a challenging and time-consuming task. The high complexity of samples and co-elution of isobaric or isomeric compounds complicate the confident annotation of lipids.

Pyruvate kinase is an enzyme involved in energy-supplying glycolysis and ATP synthesis, thus is pivotal for the eucaryotic energy metabolism. In addition, overexpression of pyruvate kinase is believed to play a role in cancer.

Lipid nanoparticles (LNPs) comprised of ionizable lipids can be used to deliver oligonucleotides to work as therapeutics or to stimulate the immune system. Detailed and sensitive characterization of the ionizable lipid and its related impurities is necessary to ensure quality, however, obtaining the level of detail needed is challenging with current LC-MS-based methodologies.

Many downstream experiments in molecular biology, such as next-generation sequencing, depend on the use of reasonably pure nucleic acid samples in adequate concentration ranges.

When it comes to cancer, diagnosis often relies on tissue biopsy in conjunction with medical imaging. In addition to sometimes being inconclusive, tissue biopsies are associated with risks, high costs and inconvenience for patients, making them ill-suited for screening or tracking disease progression.

The importance of quality control (QC) in laboratory processes is often overlooked but should be considered an essential part of every procedure.

Mass spectrometry-based proteomics provides wide depth and quantitation. But how do we quickly and effectively analyze the data produced?

In clinical proteomics research applications, blood plasma is the key sample of interest, but comprehensive proteome analysis can be challenging due to the large dynamic range of concentration.